Lars Sommer

2.9k total citations
50 papers, 1.3k citations indexed

About

Lars Sommer is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence. According to data from OpenAlex, Lars Sommer has authored 50 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 22 papers in Aerospace Engineering and 6 papers in Artificial Intelligence. Recurrent topics in Lars Sommer's work include Advanced Neural Network Applications (34 papers), Video Surveillance and Tracking Methods (28 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Lars Sommer is often cited by papers focused on Advanced Neural Network Applications (34 papers), Video Surveillance and Tracking Methods (28 papers) and Advanced Image and Video Retrieval Techniques (17 papers). Lars Sommer collaborates with scholars based in Germany, United States and Italy. Lars Sommer's co-authors include Jürgen Beyerer, Tobias Schuchert, Arne Schumann, Mohamed Alamgir, Bhaskar Saha, P. Kiesel, Alexander Lochbaum, Ajay Raghavan, Anurag Ganguli and J. Schwartz and has published in prestigious journals such as Journal of The Electrochemical Society, Journal of Power Sources and Sensors.

In The Last Decade

Lars Sommer

50 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lars Sommer Germany 20 622 488 471 418 103 50 1.3k
Ze Liu China 15 209 0.3× 349 0.7× 115 0.2× 107 0.3× 9 0.1× 83 983
Mohd Rizal Arshad Malaysia 15 351 0.6× 145 0.3× 44 0.1× 292 0.7× 18 0.2× 150 1.2k
Marc-Michael Meinecke Germany 16 435 0.7× 163 0.3× 222 0.5× 403 1.0× 2 0.0× 50 869
G. Brasseur Austria 16 44 0.1× 627 1.3× 293 0.6× 100 0.2× 42 0.4× 54 1.0k
Nattha Jindapetch Thailand 12 75 0.1× 351 0.7× 25 0.1× 59 0.1× 54 0.5× 67 575
Yanbin Gao China 16 159 0.3× 241 0.5× 43 0.1× 383 0.9× 3 0.0× 69 747
Ajit Jha Norway 15 122 0.2× 285 0.6× 21 0.0× 164 0.4× 29 0.3× 46 660
Kayhan Gülez Türkiye 17 140 0.2× 487 1.0× 63 0.1× 203 0.5× 6 0.1× 80 1.1k
Haoxiang Lang Canada 13 240 0.4× 174 0.4× 205 0.4× 176 0.4× 73 845

Countries citing papers authored by Lars Sommer

Since Specialization
Citations

This map shows the geographic impact of Lars Sommer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lars Sommer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Sommer more than expected).

Fields of papers citing papers by Lars Sommer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lars Sommer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lars Sommer. The network helps show where Lars Sommer may publish in the future.

Co-authorship network of co-authors of Lars Sommer

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Sommer. A scholar is included among the top collaborators of Lars Sommer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lars Sommer. Lars Sommer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wolf, S., et al.. (2023). Addressing Bias in Fine-Grained Classification Datasets: A Strategy for Reliable Evaluation. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 33. 1–7. 1 indexed citations
2.
Coluccia, Angelo, Alessio Fascista, Lars Sommer, et al.. (2023). Drone-vs-Bird Detection Grand Challenge at ICASSP2023. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–2. 3 indexed citations
3.
Sommer, Lars & Wolfgang Krüger. (2022). Usage of Vehicle Re-Identification Models for Improved Persistent Multiple Object Tracking in Wide Area Motion Imagery. 2022 IEEE International Conference on Image Processing (ICIP). 331–335. 1 indexed citations
4.
Coluccia, Angelo, Alessio Fascista, Arne Schumann, et al.. (2021). Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge. Sensors. 21(8). 2824–2824. 89 indexed citations
5.
Sommer, Lars, et al.. (2021). Deep learning-based video analysis pipeline for person detection and re-identification in aerial imagery. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 2 indexed citations
6.
Sommer, Lars, et al.. (2021). Exploitation of data augmentation strategies for improved UAV detection. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 14–14. 3 indexed citations
7.
Coluccia, Angelo, Alessio Fascista, Arne Schumann, et al.. (2021). Drone-vs-Bird Detection Challenge at IEEE AVSS2021. NPARC. 1–8. 42 indexed citations
8.
Sommer, Lars & Arne Schumann. (2020). Deep learning-based drone detection in infrared imagery with limited training data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–1. 5 indexed citations
9.
10.
Sommer, Lars, Arne Schumann, Tobias Schuchert, & Jürgen Beyerer. (2018). Multi Feature Deconvolutional Faster R-CNN for Precise Vehicle Detection in Aerial Imagery. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 635–642. 26 indexed citations
11.
Sommer, Lars. (2018). Deep Learning based Vehicle Detection in Aerial Imagery. Repository KITopen (Karlsruhe Institute of Technology). 1 indexed citations
12.
Sommer, Lars, et al.. (2018). Semantic Labeling Based Vehicle Detection in Aerial Imagery. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 10202. 626–634. 5 indexed citations
13.
Sommer, Lars, et al.. (2018). Ensemble of Two-Stage Regression Based Detectors for Accurate Vehicle Detection in Traffic Surveillance Data. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–6. 6 indexed citations
14.
Sommer, Lars, Tobias Schuchert, & Jürgen Beyerer. (2017). Fast Deep Vehicle Detection in Aerial Images. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 311–319. 94 indexed citations
15.
Schumann, Arne, et al.. (2017). Deep cross-domain flying object classification for robust UAV detection. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 88 indexed citations
16.
Coluccia, Angelo, Geert De Cubber, Arne Schumann, et al.. (2017). Drone-vs-Bird detection challenge at IEEE AVSS2017. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–6. 37 indexed citations
17.
Sommer, Lars, et al.. (2016). Low resolution vehicle re-identification based on appearance features for wide area motion imagery. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 1–7. 18 indexed citations
18.
Sommer, Lars, Ajay Raghavan, P. Kiesel, et al.. (2015). Monitoring of Intercalation Stages in Lithium-Ion Cells over Charge-Discharge Cycles with Fiber Optic Sensors. Journal of The Electrochemical Society. 162(14). A2664–A2669. 67 indexed citations
19.
Lochbaum, Alexander, P. Kiesel, Lars Sommer, et al.. (2014). Embedded Fiber Optic Chemical Sensing for Internal Cell Side-Reaction Monitoring in Advanced Battery Management Systems. MRS Proceedings. 1681. 12 indexed citations
20.
Sommer, Lars, et al.. (2013). Object tracking as job-scheduling problem. OPUS (Augsburg University). 1. 1–7. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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